This standard provides a reference architecture for large-scale deep learning models in power industry. The reference architecture includes resource pools, architectures, tools, data resources, models, interfaces, industry applications, and service platforms. This standard specifies requirements for scenario service capabilities, general capabilities, and application maturity, which enables to evaluate the technical maturity and stability of large-scale deep learning models in power industry and determine whether large-scale deep learning models can be smoothly and effectively integrated into existing operations, processes, and systems. This standard provides a reference for third-party power industry researchers as well as regulatory and evaluation institutions to conduct capacity assessments of large-scale deep learning models in power industry.
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2024-09-26
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
LMP-WG - Large-Scale Deep Learning Models in Power Industry
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Peng Li
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